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An import threshold for mercury in crayfish is 9 parts per billion (ppb). A study obtained a random sample of 120 crayfish from a large lake. Of these, 24 have levels of mercury that exceeded 9 ppb. Past research had shown that 25% of the crayfish had levels that exceed 9 ppb. Based on new water standards for manufacturers in the region, they wanted to see if there was a change in contamination in crayfish. What are the appropriate null and alternative hypotheses? (NE means not equal.)
A. Ho: p = .25 and Ha: p > .25
B. Ho: p = .25 and Ha: p NE .25
C. Ho: p = .25 and Ha: p > .20
D. Ho: p = .25 and Ha: p < .25
The sensitivity of a test is the probability that a person having the disease will test positive (indicating the person has the disease, i.e., it's the probability the test will pick up the fact that a person has the disease).
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What is the coefficient of determination, and wat is its meaning?
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One question that I have is: Will these sample statistics accurately estimate the purchasing habits of all our customers? Can you share some of your thoughts on that question? Why or why not?
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If Household is selected at random, find out the probability that it feels economic conditions are good?
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